Covariate-Based Covariance Functions for Nonstationary Spatial Modeling

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Documentation for package ‘cocons’ version 0.1.4

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

cocons-package	Covariate-based Covariance Functions for Nonstationary Gaussian Processes
coco	Creates a coco S4 object
coco-class	An S4 class to store information
cocons	Covariate-based Covariance Functions for Nonstationary Gaussian Processes
cocoOptim	Optimizer for coco objects
cocoPredict	Prediction for coco objects
cocoSim	Marginal and conditional simulation of nonstationary Gaussian processes
cov_rns	Dense covariance function (difference parameterization)
cov_rns_classic	Dense covariance function (classic parameterization)
cov_rns_pred	Dense covariance function
cov_rns_taper	Sparse covariance function
cov_rns_taper_pred	Sparse covariance function
getAIC	Retrieve AIC
getBIC	Retrieve BIC
getBoundaries	Simple build of boundaries
getBoundariesV2	Simple build of boundaries (v2)
getBoundariesV3	Simple build of boundaries (v3)
getCIs	Compute approximate confidence intervals for a coco object
getCovMatrix	Covariance matrix for "coco" class
getCRPS	Based on a set of predictions computes the Continuous Ranked Probability Score
getDensityFromDelta	Based on a specific taper scale (delta), retrieves the density of the covariance matrix.
getDesignMatrix	Create an efficient design matrix based on a list of aspect models
getEstims	Retrieve estimates from a fitted coco object
getHessian	getHessian
getLoglik	Retrieve the loglikelihood value
getLogScore	Based on a set of predictions computes the Log-Score
getModelLists	Builds the necessary input for building covariance matrices
getModHess	Retrieves the modified inverse of the hessian
GetNeg2loglikelihood	GetNeg2loglikelihood
GetNeg2loglikelihoodProfile	GetNeg2loglikelihoodProfile
GetNeg2loglikelihoodREML	GetNeg2loglikelihoodREML
GetNeg2loglikelihoodTaper	GetNeg2loglikelihoodTaper
GetNeg2loglikelihoodTaperProfile	GetNeg2loglikelihoodTaperProfile
getScale	Fast and simple standardization for the design matrix.
getSpatEffects	Evaluates the spatially-varying functions from a coco object at locs
getSpatMean	Computes the spatial mean of a (fitted) coco object
holes	Holes Data Set
holes_bm	Holes with trend + multiple realizations Data Set
is.formula	check whether an R object is a formula
plot-method	Plot Method for coco objects
plotOptimInfo	Plot log info detailed
stripes	Stripes Data Set
summary	Summary Method for Coco Class
summary-method	Summary Method for Coco Class